Visualization of 10+ key metrics, including monthly recurring revenue (mrr), new mrr, paid users, arppu, churn rate, expansion mrr, etc. filters by date, language, and user age for flexible analysis. the project demonstrates my skills in: sql and working with databases, data analysis, data visualization in tableau project report in google looker studio with visualization of the obtained data results. in google looker studio, i developed an interactive dashboard with graphs, a pivot table with calculated indicators with a heat map, and added two filters by date and name of the advertising company. this report is aimed at assessing the effectiveness of advertising campaigns in digital channels. it is built on data from a postgresql database containing information on advertising impressions, costs, clicks, and other marketing indicators. provide the marketing team with a convenient tool for tracking the dynamics of advertising costs and campaign performance over time. identify the most effective campaigns by key metrics: romi, cpc, cpm, ctr. provide the ability to flexibly filter data for deeper analysisSql/postgresql python tableau/data visualisation advertasing companies analysis a/b tests tools sql python tableau google bigquery google sheets/exel